Results 21 to 30 of about 5,939 (303)

Estimating Forward-Looking Stock Correlations from Risk Factors

open access: yesMathematics, 2022
This study provides fully mathematically and economically feasible solutions to estimating implied correlation matrices in equity markets. Factor analysis is combined with option data to receive ex ante beliefs for cross-sectional correlations. Necessary
Wolfgang Schadner, Joshua Traut
doaj   +1 more source

Rings over which the transpose of every invertible matrix is invertible

open access: yesJournal of Algebra, 2009
The authors prove that the transpose of every invertible square matrix over a ring \(R\) is invertible if and only if \(R/\text{rad}(R)\) is commutative. Many other characterizations are obtained for such rings. They also show that, for von Neumann regular rings, this is a necessary and sufficient condition for the commutativity of \(R\).
Gupta, R. N.   +3 more
openaire   +1 more source

Hardware Acceleration of Large-Scale CMOS Invertible Logic Based on Sparse Hamiltonian Matrices

open access: yesIEEE Open Journal of Circuits and Systems, 2021
Invertible logic has been recently presented that can realize bidirectional computing based on Hamiltonians for solving several critical issues, such as integer factorization and training neural networks.
Naoya Onizawa   +2 more
doaj   +1 more source

Stationarity and invertibility of a dynamic correlation matrix [PDF]

open access: yesKybernetika, 2017
Summary: One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC) specification. However, the underlying stochastic process to derive DCC has not yet been established, which has made problematic the derivation of asymptotic properties of the Quasi-Maximum Likelihood Estimators (QMLE).
openaire   +4 more sources

The Hadamard Product of a Nonsingular General H-Matrix and Its Inverse Transpose Is Diagonally Dominant

open access: yesJournal of Applied Mathematics, 2015
We study the combined matrix of a nonsingular H-matrix. These matrices can belong to two different H-matrices classes: the most common, invertible class, and one particular class named mixed class.
Rafael Bru   +3 more
doaj   +1 more source

A Task-Driven Invertible Projection Matrix Learning Algorithm for Hyperspectral Compressed Sensing

open access: yesRemote Sensing, 2021
The high complexity of the reconstruction algorithm is the main bottleneck of the hyperspectral image (HSI) compression technology based on compressed sensing.
Shaofei Dai   +3 more
doaj   +1 more source

Efficient recursion method for inverting an overlap matrix [PDF]

open access: yesPhysical Review B, 2001
A new O(N) algorithm based on a recursion method, in which the computational effort is proportional to the number of atoms N, is presented for calculating the inverse of an overlap matrix which is needed in electronic structure calculations with the the non-orthogonal localized basis set. This efficient inverting method can be incorporated in several O(
openaire   +2 more sources

A right Bezout ring with stable range 2, over which transpose matrix to invertible matrix is invertible, is the right Hermite ring (in Ukrainian) [PDF]

open access: yesМатематичні Студії, 2011
It is proved that a right Bezout ring with stable range 2, over which transpose matrix to invertible matrix is invertible matrix, is the right Hermite ring.
I. V. Domsha
doaj  

Boundary value matrix problems and Drazin invertible operators

open access: yesМатематичні Студії, 2022
Let $A$ and $B$ be given linear operators on Banach spaces $X$ and $Y$, we denote by $M_C$ the operator defined on $X \oplus Y$ by $M_{C}= \begin{pmatrix} A & C \\ 0 & B% \end{pmatrix}.$ In this paper, we study an abstract boundary value matrix problems
K. Miloud Hocine
doaj   +1 more source

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